Deep Learning Methods Utilization in Mechanical Property of Medium‐Mn Steel
Haijun Pan,
Wenyu Tao,
Shunhu Zhang
et al.
Abstract:This study presents an innovative method to predict the mechanical properties of medium‐Mn steel by deep learning (DL). Based on datasets, an artificial neural network (ANN) model serves as a crucial component of DL, demonstrating a coefficient of determination of 0.996, which indicates high accuracy between experimental and predicted values. Meanwhile, the contents of Mn and C, as well as Al and intercritical annealing (IA) conditions, have higher permutation feature importance (PFI) scores, which are 22.37% … Show more
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